Dynamic Jump Range Identification for Sequential Write Classification
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Solution Overview
Problem
Existing data storage devices face challenges in efficiently handling sequential write commands from hosts, where the start or end logical block address (LBA) of a write command can be non-sequential relative to the previous command, leading to scattering of data across multiple random blocks and increased garbage collection.
Innovation Solution
A data storage device and method that dynamically identify a jump range based on a history of previous write commands, allowing the device to process new write commands as sequential if their LBAs fall within the dynamically-defined forward or backward jump range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed forward and backward jump thresholds are used to identify sequential writes, then the device complexity is reduced, but the adaptability to different host write patterns deteriorates
Solution Approach 1:
The patent implements dynamic jump thresholds that automatically adjust based on observed host write patterns. The controller monitors sequential write commands and modifies forward and backward jump thresholds in real-time, transforming the static threshold mechanism into a dynamic one that adapts to different host behaviors and workloads.
Solution Approach 2:
The patent changes the parameters (forward jump threshold and backward jump threshold) based on observed write patterns. By monitoring the distribution and frequency of sequential writes, the system adjusts these parameters to optimize performance for the specific host behavior patterns encountered.
2Adaptability or versatility
If dynamic jump range identification based on write command history is implemented, then the adaptability to host write patterns is improved, but the device complexity increases
Solution Approach 1:
The controller performs self-service by automatically analyzing its own write command history and adjusting its jump thresholds without external intervention. The system monitors its own operational patterns and autonomously optimizes its performance parameters, reducing the need for manual configuration or complex external control mechanisms.
Solution Approach 2:
The patent implements a feedback mechanism where the controller continuously monitors write command patterns and uses this information to adjust jump thresholds. The system feeds back information about observed sequential write behaviors and modifies its threshold parameters accordingly, creating a closed-loop control system that continuously optimizes performance.
3Productivity
If sequential write commands are correctly identified and routed, then write performance is improved, but the risk of misclassification increasing garbage collection increases
Solution Approach 1:
The patent uses conservative threshold settings that may occasionally miss some sequential writes rather than incorrectly classifying random writes as sequential. By setting thresholds that err on the side of caution, the system prioritizes avoiding false positives (which would increase garbage collection) over capturing every possible sequential write opportunity.
Data Source
AI summary
A data storage device can use a jump range to identify whether a new write command received from a host is part of a sequential stream of write commands even though the logical block address of the new write command is not sequential to the logical block addresses of those other commands. However, using a fixed jump range can result in a new random write command being misclassified as a sequential write command, or vice versa. To address this problem, the embodiments presented herein describe a data storage device that uses a dynamic jump range based on a pattern of write commands previously received from the host. Other embodiments are provided.